Francesco Tudisco

Associate Professor (Reader) in Machine Learning

School of Mathematics, The University of Edinburgh
The Maxwell Institute for Mathematical Sciences
School of Mathematics, Gran Sasso Science Institute JCMB, King’s Buildings, Edinburgh EH93FD UK
email: f dot tudisco at ed.ac.uk

What we should learn from pandemic publishing

Satyaki Sikdar, Sara Venturini, Marie-Laure Charpignon, Sagar Kumar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato, Maimuna S. Majumder,
Nature Human Behaviour, 8 : 1631-1634 (2024)

Abstract

Authors of COVID-19 papers produced during the pandemic were overwhelmingly not subject matter experts. Such a massive inflow of scholars from different expertise areas is both an asset and a potential problem. Domain-informed scientific collaboration is the key to preparing for future crises.

Please cite this paper as:


@article{sikdar2024what,
	author = {Sikdar, Satyaki and Venturini, Sara and Charpignon, Marie-Laure and Kumar, Sagar and Rinaldi, Francesco and Tudisco, Francesco and Fortunato, Santo and Majumder, Maimuna S.},
	journal = {Nature Human Behaviour},
	pages = {1631--1634},
	title = {What we should learn from pandemic publishing},
	volume = {8},
	year = {2024}

Links: doi slides

Keywords: networks science of science collaboration topic switches computational social science